I built a cron job that calls a bash script that gets the current weather forecast for a location and extracts the values and then sshes to another server where it inserts the values into the footer html block of all files ending with .html every hour
Ask HN: What have you built with LLMs?
21–30 of 79 posts
Re: Ask HN: What have you built with LLMs?
#22I built a service that turns entire websites into structured output: https://sitewideai.com
You enter a starting URL, describe the data you want in a prompt, the AI suggests columns for the output spreadsheet which you can customize, and then goes off and turns the website into structured data into a CSV file.
It also supports limits, you can say for example "visit at most 100 pages" and it will stop after 100 pages.
It was easier said than done to get prompts working as intended and the crawler to focus on the most relevant URLs first. As always, the final 20% end up taking up 80% of the development time.
Re: Ask HN: What have you built with LLMs?
#23Not built but planning to build a government knowledge repository with prompt query for intuitive and interactive understanding of government agencies operational documents including the Acts, Policies, SoP, Guidelines, Memo, etc based on LLM and RAG that can run locally using open source LLM model.
It's similar to this AI-driven chat assistant for ECE 120 course at UIUC:
Re: Ask HN: What have you built with LLMs?
#24I built a cron job that calls a bash script that gets the current weather forecast for a location and extracts the values and then sshes to another server where it inserts the values into the footer html block of all files ending with .html every hour
Just curious, how is an LLM helping here?
Re: Ask HN: What have you built with LLMs?
#25I built a client to interface with gguf models or ChatGPT
https://github.com/Merkoba/Meltdown
100% made in Python (and tk). I made my own markdown parser.
Hundreds of commands and command line arguments.
I use it everyday myself.
Re: Ask HN: What have you built with LLMs?
#26I built a cron job that calls a bash script that gets the current weather forecast for a location and extracts the values and then sshes to another server where it inserts the values into the footer html block of all files ending with .html every hour
Just curious, how is an LLM helping here?
It wrote the thing. Did I misunderstand and it’s supposed to run the thing to qualify for this thread? I told the LLM to build it so I was included.
Re: Ask HN: What have you built with LLMs?
#27Local LLM game, guess the secret. Built it using LLama.cpp and whisper.cpp on github.
Re: Ask HN: What have you built with LLMs?
#28https://interviewsolver.com Interview Copilot for helping you ace your live coding interviews. Desktop app + companion web mode so it's truly undetectable by interview platforms, controlled by global hotkeys.
Wow, isn’t this just cheating with AI for a price right ?
Cheating on what, the computer vetting process? Maybe companies should actually interview people in person, then they wouldn't have a problem anymore.
Good candidates are swirling around in the limbo of bad faith automated vetting tools, companies shouldn't be surprised if they use technology to get past the humanless gauntlet. Getting to a human who can genuinely reason about the complex value of a specific human in a specific team should be priority number one, for both candidate and hiring process.
Re: Ask HN: What have you built with LLMs?
#29Not much yet except a little email wrapper around the top LLMs. Now I can send an email to claude@goodbot.club or gemini@goodbot.club and get an answer in a few seconds.
I found in a recent project that it was interesting to compare the answers between GPT, Gemini, Claude, and Mistral. I have better results by combining the parts I like in each answer. It's also easier to ask follow up questions directly from my email client regardless of which device I'm currently using.
I built the app in a weekend with Ruby on Rails and AWS SES. I'm now wondering if it could be useful to other people? It's already open source and I could probably make the hosted version free by allowing users to provide their own API keys.
Re: Ask HN: What have you built with LLMs?
#30I've built an open source data analysis and visualization tool https://dataline.app Now my product manager and customer support teams use it for most small questions / charts needed.
GREAT! How is the NL2SQL accuracy? Does it support queries that need to join multiple tables?